37 citations · 58 across the 4 of their papers we have counts for
5 papers
Harmonising the Clinical Melody: Tuning Large Language Models for Hospital Course Summarisation in Clinical Coding
Bokang Bi, Leibo Liu, Sanja Lujic +2
The increasing volume and complexity of clinical documentation in Electronic Medical Records systems pose significant challenges for clinical coders, who must mentally process and…
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit
Oisin Fitzgerald, Oscar Perez-Concha, Blanca Gallego-Luxan +3
Irregularly measured time series are common in many of the applied settings in which time series modelling is a key statistical tool, including medicine. This provides challenges i…
Automated ICD Coding using Extreme Multi-label Long Text Transformer-based Models
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
Background: Encouraged by the success of pretrained Transformer models in many natural language processing tasks, their use for International Classification of Diseases (ICD) codin…
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models
Leibo Liu, Oscar Perez-Concha, Anthony Nguyen +2
Electronic Medical Records (EMRs) contain clinical narrative text that is of great potential value to medical researchers. However, this information is mixed with Personally Identi…
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk
Sebastiano Barbieri, James Kemp, Oscar Perez-Concha +4
Objective: To compare different deep learning architectures for predicting the risk of readmission within 30 days of discharge from the intensive care unit (ICU). The interpretabil…